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Dr. Yanwen LI, 李延文

(Former)

Calculated based on number of publications stored in Pure and citations from Scopus
20192022

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Biography

CONTACT INFORMATION: [email protected]

RESEARCH INTERESTS: simulation modeling and optimization, applied probability, machine learning

EDUCATION                                                           

  • Sep. 2018 - Oct. 2022   City University of Hong Kong
    Ph.D. (Advanced Design and Systems Engineering)
  • Sep. 2014 - Jul. 2018    Harbin Institute of Technology
    Bachelor of Science (Mathematics and Applied Mathematics)

PUBLICATIONS                                                          

  • Y. Li and S. Gao, “On the Finite-Time Performance of the Knowledge Gradient Algorithm”, Proceedings of the 39th International Conference on Machine Learning (ICML 2022), PMLR 162:12741-12764.
  • Y. Li and S. Gao, “On the Convergence of Optimal Computing Budget Allocation Algorithms”, Proceedings of the 2021 Winter Simulation Conference (WSC 2021).
  • X. Zhao, T. Fan, Y. Li, Y. Zheng and J. Pan, “An Efficient and Responsive Robot Motion Controller for Safe Human-Robot Collaboration”, IEEE Robotics and Automation Letters, 2021.
  • F. Gao, Y. Li and S. Gao, “Selecting an Optimal Subset with Regression Metamodels”, Proceedings of the 3rd IEEE Conference on Control Technology and Applications (CCTA 2019).
  • Y. Guo, Y. Li and X. Ding, “Razumikhin Approach Conjoined with Graph Theory to Input-to-State Stability of Coupled Retarded Systems on Networks”, Neurocomputing, 2017.

HONORS AND AWARDS                                                  

  • Third-Class Scholarship of 2017 Industry and Information Technology Innovation and Entrepreneurship Scholarship
  • First Price of the Preliminary of Chinese Undergraduate Mathematics Contest in Heilongjiang Province
  • Second Price of China Undergraduate Mathematics Contest in Modeling (CUMCM) in Shandong Province
  • Academic Lead Forward Scholarship

SERVICE                                                                 

  • Serving as PC member:     

              Winter Simulation Conference 2022

  • Invited to review:
        Automatica
        IEEE Transactions on Automation Science and Engineering
        Transportmetrica B: Transport Dynamics
        The 2021 INFORMS Conference on Service Science
        The 2021 IEEE/SICE Symposium on System Integration
        The 2020 IEEE/SICE Symposium on System Integration
  • Serving as teaching assistants:
        SEEM8202 - System Modelling and Management
        SEEM5006 - Operations Management
        SEEM4103 - Decision Analysis and Risk Management
        SEEM4026 - Systems Modelling and Simulation
        SEEM3020 - Engineering Economic Analysis

SKILLS                                                                    

  • Programming: MATLAB, Python, Arena

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Collaborations from the last five years

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  • On the Finite-Time Performance of the Knowledge Gradient Algorithm

    Li, Y. & Gao, S., Jul 2022, Proceedings of the 39th International Conference on Machine Learning. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 12741-12764 (Proceedings of Machine Learning Research; vol. 162).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    4 Citations (Scopus)
  • An Efficient and Responsive Robot Motion Controller for Safe Human-Robot Collaboration

    Zhao, X., Fan, T., Li, Y., Zheng, Y. & Pan, J., Jul 2021, In: IEEE Robotics and Automation Letters. 6, 3, p. 6068-6075

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    16 Citations (Scopus)
  • On the Convergence of Optimal Computing Budget Allocation Algorithms

    Li, Y. & Gao, S., Dec 2021, 2021 Winter Simulation Conference (WSC). IEEE, 12 p. (Proceedings - Winter Simulation Conference).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)
  • Selecting an Optimal Subset with Regression Metamodels

    Gao, F., Li, Y., Gao, S. & Xiao, H., Aug 2019, IEEE CCTA 2019: 3rd IEEE Conference on Control Technology and Applications. IEEE, p. 851-855 8920514. (CCTA - IEEE Conference on Control Technology and Applications).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    2 Citations (Scopus)